Alternatives and similar repositories for generative_models

Users that are interested in generative_models are comparing it to the libraries listed below

• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆84Updated 2 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆68Updated 4 years ago
• sungyubkim / amortized_svgd
  A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN
  ☆19Updated 6 years ago
• soobinseo / Attentive-Neural-Process
  A Pytorch Implementation of Attentive Neural Process
  ☆75Updated 6 years ago
• xqding / Importance_Weighted_Autoencoders
  A PyTorch Implementation of the Importance Weighted Autoencoders
  ☆39Updated 6 years ago
• dfdazac / vaesbd
  Variational Autoencoder with Spatial Broadcast Decoder
  ☆35Updated 6 years ago
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 3 years ago
• orybkin / sigma-vae-pytorch
  A σ-VAE implementation in PyTorch
  ☆98Updated 3 years ago
• CW-Huang / NAF
  Experiments for the Neural Autoregressive Flows paper
  ☆125Updated 4 years ago
• singhgautam / snp
  This is the official source code for Sequential Neural Processes.
  ☆40Updated 2 years ago
• microsoft / conservative-uncertainty-estimation-random-priors
  Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)
  ☆21Updated 2 years ago
• iffsid / disentangling-disentanglement
  ☆91Updated 6 years ago
• pratikm141 / MMD-Variational-Autoencoder-Pytorch-InfoVAE
  Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch
  ☆42Updated 4 years ago
• fpcasale / GPPVAE
  Gaussian Process Prior Variational Autoencoder
  ☆84Updated 6 years ago
• addtt / ladder-vae-pytorch
  Ladder Variational Autoencoders (LVAE) in PyTorch
  ☆92Updated 5 years ago
• izmailovpavel / flowgmm
  ☆148Updated 3 years ago
• dragen1860 / pytorch-mnist-vae
  Pytorch Implementation of variational auto-encoder for MNIST
  ☆62Updated 6 years ago
• yoonholee / pytorch-vae
  A minimal pytorch implementation of VAE, IWAE, MIWAE
  ☆48Updated 2 years ago
• pclucas14 / iaf-vae
  Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
  ☆82Updated 5 years ago
• orybkin / sigma-vae
  Repository for the paper "Simple and Effective VAE Training with Calibrated Decoders"
  ☆29Updated 4 years ago
• kamenbliznashki / generative_models
  Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE
  ☆92Updated 4 years ago
• denproc / Taming-VAEs
  ☆26Updated 6 years ago
• lin-shuyu / ladder-latent-data-distribution-modelling
  In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…
  ☆41Updated 4 years ago
• microsoft / deterministic-variational-inference
  Sample code for running deterministic variational inference to train Bayesian neural networks
  ☆100Updated 6 years ago
• lxuechen / BDMC
  PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.
  ☆52Updated 4 years ago
• paultsw / nice_pytorch
  Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.
  ☆119Updated 6 years ago
• Alfo5123 / Variational-Sparse-Coding
  Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
  ☆62Updated 2 years ago
• akandykeller / SelfNormalizingFlows
  ☆68Updated 2 years ago
• rosinality / igebm-pytorch
  Implicit Generation and Generalization in Energy Based Models in PyTorch
  ☆66Updated 6 years ago
• cambridge-mlg / cnn-gp
  Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…
  ☆32Updated 5 years ago